Joline Dalton

2.5k total citations
18 papers, 1.1k citations indexed

About

Joline Dalton is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Joline Dalton has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in Joline Dalton's work include Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (4 papers) and Muscle Physiology and Disorders (4 papers). Joline Dalton is often cited by papers focused on Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (4 papers) and Muscle Physiology and Disorders (4 papers). Joline Dalton collaborates with scholars based in United States, France and Japan. Joline Dalton's co-authors include John Day, Laura P.W. Ranum, Katherine A. Dick, K. Ricker, Yoshio Ikeda, Anne Harrison, Carsten Q. Schneider, Manuela C. Koch, Marcy R. Weatherspoon and Gregory J. Beilman and has published in prestigious journals such as Circulation, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Joline Dalton

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joline Dalton United States 10 898 817 290 125 98 18 1.1k
Sharan Paul United States 19 1.0k 1.1× 688 0.8× 220 0.8× 95 0.8× 81 0.8× 37 1.2k
Warunee Dansithong United States 19 1.0k 1.1× 732 0.9× 218 0.8× 108 0.9× 82 0.8× 35 1.2k
Apoorva Mohan United States 8 626 0.7× 440 0.5× 127 0.4× 105 0.8× 35 0.4× 8 800
Roland Spiegel Switzerland 12 654 0.7× 595 0.7× 295 1.0× 92 0.7× 140 1.4× 28 950
Katherine A. Dick United States 5 479 0.5× 463 0.6× 158 0.5× 63 0.5× 44 0.4× 5 606
James F. Gusella United States 10 670 0.7× 606 0.7× 498 1.7× 47 0.4× 113 1.2× 16 1.0k
Emil Ylikallio Finland 20 952 1.1× 287 0.4× 144 0.5× 42 0.3× 106 1.1× 37 1.2k
Maria do Carmo Costa United States 22 1.1k 1.2× 988 1.2× 298 1.0× 23 0.2× 82 0.8× 37 1.3k
Bisong Xu United States 8 585 0.7× 448 0.5× 103 0.4× 78 0.6× 107 1.1× 8 733
Alice B. Schindler United States 15 607 0.7× 396 0.5× 202 0.7× 33 0.3× 104 1.1× 37 1.0k

Countries citing papers authored by Joline Dalton

Since Specialization
Citations

This map shows the geographic impact of Joline Dalton's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joline Dalton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joline Dalton more than expected).

Fields of papers citing papers by Joline Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joline Dalton. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joline Dalton. The network helps show where Joline Dalton may publish in the future.

Co-authorship network of co-authors of Joline Dalton

This figure shows the co-authorship network connecting the top 25 collaborators of Joline Dalton. A scholar is included among the top collaborators of Joline Dalton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joline Dalton. Joline Dalton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Byfield, Stacey DaCosta, Kathryn E. Hatchell, Joline Dalton, et al.. (2022). Comparison of Germline Genetic Testing Before and After a Medical Policy Covering Universal Testing Among Patients With Colorectal Cancer. JAMA Network Open. 5(10). e2238167–e2238167. 9 indexed citations
2.
Hall, Taryn O., et al.. (2021). Determining Cost-Optimal Next-Generation Sequencing Panels for Rare Disease and Pharmacogenomics Testing. Clinical Chemistry. 67(8). 1122–1132. 2 indexed citations
3.
Sheng, Ren, Joline Dalton, Taryn O. Hall, et al.. (2021). Abstract 10555: Genetic Testing Underutilization in Patients with Cardiomyopathy: A Real-World Data Analysis. Circulation. 144(Suppl_1). 3 indexed citations
4.
Nielsen, Sarah M., Joline Dalton, Kathryn E. Hatchell, et al.. (2021). Clinical impact of medical policy supporting universal germline testing for patients with colorectal cancer.. Journal of Clinical Oncology. 39(15_suppl). 10514–10514. 2 indexed citations
5.
Nguyen, Huy Tien, Joline Dalton, Kelly Chen, et al.. (2020). Cobblestone Malformation in LAMA2 Congenital Muscular Dystrophy (MDC1A). Journal of Neuropathology & Experimental Neurology. 79(9). 998–1010. 6 indexed citations
6.
Goodwin, Marianne, Apoorva Mohan, Ranjan Batra, et al.. (2015). MBNL Sequestration by Toxic RNAs and RNA Misprocessing in the Myotonic Dystrophy Brain. Cell Reports. 12(7). 1159–1168. 116 indexed citations
7.
Dalton, Joline, Valerie Cwik, Annie Kennedy, et al.. (2014). Muscular Dystrophy Association U.S. Neuromuscular Disease Registry - Preliminary Findings (P7.008). Neurology. 82(10_supplement). 1 indexed citations
8.
Siskind, Carly E., Seema Panchal, Shawna Feely, et al.. (2013). A Review of Genetic Counseling for Charcot Marie Tooth Disease (CMT). Journal of Genetic Counseling. 22(4). 422–436. 19 indexed citations
9.
Hartweck, Lynn M., Lindsey Anderson, Richard J.L.F. Lemmers, et al.. (2013). A focal domain of extreme demethylation within D4Z4 in FSHD2. Neurology. 80(4). 392–399. 57 indexed citations
10.
Franc, Daniel, Ryan L. Muetzel, Joline Dalton, et al.. (2012). Cerebral and muscle MRI abnormalities in myotonic dystrophy. Neuromuscular Disorders. 22(6). 483–491. 50 indexed citations
11.
Arikian, Aimee, Kerri N. Boutelle, Carol B. Peterson, et al.. (2010). Targeting parents for the treatment of pediatric obesity in boys with Duchenne muscular dystrophy: A case series. Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity. 15(3). e161–e165. 5 indexed citations
12.
Tsuji, Shoji, Y. Fukuda, Yuji Takahashi, et al.. (2009). SNP Haplotype Mapping in a Small ALS Family. PLoS ONE. 4(5). e5687–e5687. 4 indexed citations
13.
Ikeda, Yoshio, Katherine A. Dick, Marcy R. Weatherspoon, et al.. (2006). Spectrin mutations cause spinocerebellar ataxia type 5. Nature Genetics. 38(2). 184–190. 262 indexed citations
14.
Savkur, Rajesh S., Anne V. Philips, Thomas A. Cooper, et al.. (2004). Insulin Receptor Splicing Alteration in Myotonic Dystrophy Type 2. The American Journal of Human Genetics. 74(6). 1309–1313. 123 indexed citations
15.
Ikeda, Yoshio, Joline Dalton, Melinda L. Moseley, et al.. (2004). Spinocerebellar Ataxia Type 8: Molecular Genetic Comparisonsand Haplotype Analysis of 37 Families with Ataxia. The American Journal of Human Genetics. 75(1). 3–16. 62 indexed citations
16.
Mosemiller, A. K., Joline Dalton, John Day, & Laura P.W. Ranum. (2003). Molecular genetics of spinocerebellar ataxia type 8 (SCA8). Cytogenetic and Genome Research. 100(1-4). 175–183. 29 indexed citations
17.
Liquori, Christina L., Yoshio Ikeda, Marcy R. Weatherspoon, et al.. (2003). Myotonic Dystrophy Type 2: Human Founder Haplotype and Evolutionary Conservation of the Repeat Tract. The American Journal of Human Genetics. 73(4). 849–862. 66 indexed citations
18.
Day, John, K. Ricker, Katherine A. Dick, et al.. (2003). Myotonic dystrophy type 2. Neurology. 60(4). 657–664. 297 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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